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基于动态邻域的交叉路口车流检测
引用本文:孟晓芳,王珏,朴在林. 基于动态邻域的交叉路口车流检测[J]. 湖南农机, 2007, 0(5): 17-19
作者姓名:孟晓芳  王珏  朴在林
作者单位:沈阳农业大学,辽宁,沈阳,110161
基金项目:沈阳农业大学校科研和教改项目
摘    要:本文在根据实际交通场景确定图像的检测区域后,将检测区域划分为直行区域和左转区域,进而利用动态邻域确定了不同区域的车辆排队长度,并且转换成实际的长度,然后利用一组图像求得排队长度的变化速度.通过在计算机上的实验,证实该法适应能力强、计算量小,计算速度快,准确度高.

关 键 词:检测区域  动态邻域  排队长度车流检测  利用动态  邻域  交叉路口  车流检测  Neighborhood  Dynamic  Based  Intersection  Detection  vehicles  计算速度  计算量  适应能力  实验  计算机  变化速度  车辆排队长度  转换  左转  域划分
文章编号:1007-8320(2007)05-0017-03
修稿时间:2007-03-02

The Stream of vehicles Detection of Intersection Based on Dynamic Neighborhood
Meng Xiaofang,Wang Jue,Piao Zailin. The Stream of vehicles Detection of Intersection Based on Dynamic Neighborhood[J]. Hunnan Agricultural Machinery, 2007, 0(5): 17-19
Authors:Meng Xiaofang  Wang Jue  Piao Zailin
Affiliation:Slaenyang Agricultural University, The College of Information and Electric Engineering, Shenyang 110161
Abstract:According to the fact traffic scene, this paper confirms the detection area, and the area is partitioned the straight area and left turning area. And then uses dynamic neighborhoods to figure out lengthes of queue of the different area, which are changed into fact length. With a set of image, speeds of length of queue can be gained. It is implemented on computer and made sure that virtues of the method are powerful adaptability, small computing quantity, rapidly computing speed, and high accuracy.
Keywords:Detection Area  Dynamic Neighborhood  Length of Queue
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